Microstructure alignment of wood density profiles: an approach to equalize radial differences in growth rate
Microstructure alignment of wood density profiles: an approach to equalize radial differences in growth rate
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木材密度分布的微观结构排列：均衡生长速率径向差异的方法
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发表时间：
2012
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通讯作者：
H. Spiecker
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作者：
B. J. Bender;Martin Mann;R. Backofen;H. Spiecker
研究了道格拉斯冷杉年轮(Pseudotsuga menziesii[MIRB.])的年内木材密度分布。佛朗哥)在德国西南部。生长速度在树围周围是不同的。这导致了木材形成的差异，这可以从同一树木年轮在不同径向测量的密度分布的形状中观察到。由于密度分布的这种空间变化，我们需要一种可靠的方法来确定平均分布，以保持数据的共同特征。为此，我们开发了一种基于多区间的曲线对齐(MICA)方法。它识别轮廓中的特征点，如最小值、最大值和拐点。这些参考点在按比例定义的基线间隔内逐渐彼此相对移位。使用我们的渐进对齐方法，我们能够计算出能够很好地代表特定树轮的所有测量曲线的特征的平均轮廓。我们应用了这个程序，使用各种树来获得特定年份的平均轮廓。这就产生了代表性的平均密度剖面，它保留了所有对齐剖面所共有的密度变化。降低了单个噪声，从而能够分析天气变化对木材密度的影响。
We studied intra-annual wood density profiles of Douglas-fir tree rings (Pseudotsuga menziesii [Mirb.] Franco) in southwestern Germany. Growth rates are variable around the tree circumference. This leads to differences in wood formation, which can be observed in the shape of the density profiles of the same tree ring measured in different radial directions. Due to this spatial variation in density profiles, we need a reliable method to determine an average profile, which preserves the common characteristics of the data. To this end, we developed a multiple interval-based curve alignment (MICA) procedure. It identifies characteristic points within the profiles such as minima, maxima and inflection points. These reference points are shifted gradually against each other within a proportionally defined baseline interval. Using our progressive alignment approach, we are able to calculate an average profile that represents very well the characteristics of all measured curves of a specific tree ring. We applied the procedure to get year-specific average profiles using various trees. This results in representative mean density profiles that preserve the density variations common to all aligned profiles. Individual noise is reduced, thereby enabling the analysis of the impact of weather variations on wood density.